Abstract
Considering the many significant challenges faced by higher education in contemporary society, gamification and game-based approaches to Education have been gaining protagonism in research as well as in practice. Application of games can encourage-or require-students to apply deeper levels of knowledge and skills, focusing their knowledge acquisition in more than simple memorization and repetition in tests, allowing them to use their new-found knowledge, skills and abilities in problem solving-even if simulated and fairly accessible ones. Unlike traditional assessments, which typically require students to recall or demonstrate basic levels of skills, games and simulations can present students with more authentic environments to demonstrate strategic and critical thinking, which is highly compatible with the "competency model". Through games, learning can also be made more of a social and collaborative activity, which are important 21st century skills. Hence, a model was developed for applying gamification in a course of Human Resources Management of a Masters in Engineering. This model was based on a state of the art research of gamification in higher education, as well as some guidelines and main features of a gamification framework. This paper presents the game system, platform and strategies implemented by the teaching team, comparing the original project with the one actually implemented. Teacher and student reflections on this experience are presented, and guidelines for future practice are brought out, including the biggest blunders and the best features of the game-based approach used in this experience, their causes and consequences. We believe this work can contribute to further game-based approaches in higher education, stimulating reflection and insight for other researchers and practitioners.

Abstract
Objectives: To understand and build a collective vision of all existing institutions in the Portuguese National Health Service as well as to perceive how and how far the interaction between those multiple institutions is supported by Information Systems (IS). Methods: Upon identification of the institutions involved in the healthcare process, a set of interviews with experienced people from those institutions was conducted, which produced about five hours of tape. The research was focused exclusively on processes involving two different organizations and any internal processes were altogether excluded from it. Results: The study allowed the identification of about 50 recurrent interaction processes, which were classified into four different varieties in accordance with the nature of the information flow: administrative, clinical, identificational and statistical. In addition, these processes were divided in accordance with the way how that integration is achieved, from completely automated to email or telephone-based. Conclusions: Funds/Money related processes are technologically more rigid and standardized, whereas auditing and inspection ones are less supported by automatic systems. There emerged an interesting level of sharing and integration in clinical processes, although the integration is mostly made at the interface level. The authors identified 5 particularly relevant and dominant actors (2 classes of individuals and 3 institutions) with which there is a need for coordination and cooperation. The authors consider that, in future works, an effort should be made to provide the various institutions with guidelines/interfaces and prompt such institutions to elaborate upon these.

Abstract

Abstract
Renewable energy sources (RES) are becoming the main players for the sustainability of the planet and achieving a 100% RES energy system has been attested as a good strategy to go forward in many countries. This target however defies the system to integrate highly variable RES in a system that does not allow for shortage on the energy supply. This work presents a possible 100% RES scenario for an electricity system close to the Portuguese estimating and analysing the economic and technical impacts. The sensitivity of the results to aspects related to RES availability, electricity demand, peak load and interconnection capacity for electricity trading were also analysed. The results highlighted the excess of electricity produced in 100% RES systems and the importance of including interconnection capacity to contribute to overcome this problem.

Abstract
Deterministic models based on most likely forecasts can bring simplicity to the electricity power planning but do not explicitly consider uncertainties and risks which are always present on the electricity systems. Stochastic models can account for uncertain parameters that are critical to obtain a robust solution, requiring however higher modelling and computational effort. The aim of this work was to propose a methodology to identify major uncertainties presented in the electricity system and demonstrate their impact in the long-term electricity production mix, through scenario analysis. The case of an electricity system with high renewable contribution was used to demonstrate how renewables uncertainty can be included in long term planning, combining Monte Carlo Simulation with a deterministic optimization model. This case showed that the problem, of including risk in electricity planning could be explored in short running time even for large real systems. The results indicate that high growth demand rate combined with climate uncertainty represent major sources of risk for the definition of robust optimal technology mixes for the future. This is particularly important for the case of electricity systems with high share of renewables as climate change can have a major role on the expected power output.

Abstract
The Brazilian power generation sector faces a paradigm change driven, on one hand, by a shift from a hydropower dominated mix and, on the other, by international goals for reducing greenhouse gases emissions. The objective of this work was to evaluate five scenarios for the Brazilian power system until 2050 using a multi-criteria decision analysis tool. These scenarios include a baseline trend and low carbon policy scenarios based on carbon taxes and carbon emission limits. To support the applied methodology, a questionnaire was elaborated to integrate the perceptions of experts on the scenario evaluation process. Taking into account the results from multicriteria analysis, scenario preference followed the order of increasing share of renewables in the power system. The preferable option for the future Brazilian power system is a scenario where wind and biomass have a major contribution. The robustness of the multi-criteria tool applied in this study was tested by a sensitivity analysis. This analysis demonstrated that, regardless the respondents' preferences and backgrounds, scenarios with higher shares of fossil fuel sources are the least preferable option, while scenarios with major contributions from wind and biomass are the preferable option to supply electricity in Brazil through 2050.